Modeling flow statistics using the linearized Navier-Stokes equations

Proceedings of the IEEE Conference on Decision and Control

Volumn 5, Issue , 2001, Pages 4944-4949

  Jovanović, Mihailo ^a   Bamieh, Bassam ^a  

^a University of California   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BOUNDARY CONDITIONS; CHANNEL FLOW; CORRELATION METHODS; GALERKIN METHODS; LINEAR EQUATIONS; LYAPUNOV METHODS; MATHEMATICAL MODELS; NAVIER STOKES EQUATIONS; OPTIMAL CONTROL SYSTEMS; RANDOM PROCESSES; REYNOLDS NUMBER; TURBULENT FLOW;

DIRECT NUMERICAL SIMULATION; KINEMATIC VISCOSITY; LINEARIZED NAVIER-STOKES EQUATIONS; REYNOLDS STRESSES; TURBULENCE SUPPRESSION;

COMPUTATIONAL FLUID DYNAMICS;

EID: 0035707989     PISSN: 01912216     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

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4. Stochastic forcing of the linearized Navier-Stokes equations
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6. Energy amplification in channel flows with stochastic excitation
7. The spatio-temporal impulse response of the linearized Navier-Stokes equations
8. Skin-friction drag reduction via robust reduced-order linear feedback control
9. Optimal and robust control and estimation of linear paths to transition
10. Spatially localized convolution kernels for decentralized control and estimation of transition in plane channel flow
11. Application of robust reduced-order controller to turbulent flows for drag reduction
12. Turbulence statistics in fully developed channel flow at low Reynolds number
13. DNS-based predictive control of turbulence: An optimal benchmark for feedback algorithms
14. Perturbation structure and spectra in turbulent channel flow
15. Input-output properties of the linearized Navier-Stokes equations